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UNTER WELCHEN UMSTANDEN WURDEN DEUTSCHE LANDWIRTE GENTECHNISCH VERANDERTEN RAPS ANBAUEN? EIN DISCRETE CHOICE EXPERIMENT (German)

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Author Info
Breustedt, Gunnar
Muller-Scheessel, Jorg
Meyer-Schatz, Henrika Marie
Abstract

Mittels eines Discrete Choice Experimentes werden empirisch Determinanten identifiziert, die die Entscheidung für den potenziellen Anbau von gentechnisch verändertem Raps durch 217 rapsanbauende Landwirte bestimmen. Die Deckungsbeitragsdifferenz gegenüber konventionellem Raps, die Haftungswahrscheinlichkeit und –höhe für Auskreuzungsschäden, die Wartezeit für die Rückkehr zu konventionellem Rapsanbau, die Einstellung von Nachbarlandwirten gegenüber Grüner Gentechnik, die Betriebsgröße, der betriebliche Rapsanteil, der Betriebstyp, die Innovationsneigung des Betriebsleiters, das Geschlecht des Betriebsleiters, eine akademische Ausbildung und die Existenz von Kindern unter 16 Jahren werden als signifikante Einflussgrößen identifiziert. Folglich ist neben den betriebswirtschaftlichen Kenngrößen nicht nur die eigene Präferenz, sondern auch die Meinung der Nachbarlandwirte mitentscheidend für die Adoption. Hingegen haben eine gesteigerte Anwendungsflexibilität der ersten Herbizidmaßnahme, das Alter und die Kooperationsneigung des Betriebsleiters keinen signifikanten Einfluss.

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Paper provided by German Association of Agricultural Economists (GEWISOLA) in its series 47th Annual Conference, Weihenstephan, Germany, September 26-28, 2007 with number 7577.

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Date of creation: 2007
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Handle: RePEc:ags:gewi07:7577

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Related research
Keywords: Adoption; Discrete Choice Experiment; Gentechnisch veränderter Raps; Multinomiales;

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  1. Hausman, Jerry & McFadden, Daniel, 1984. "Specification Tests for the Multinomial Logit Model," Econometrica, Econometric Society, vol. 52(5), pages 1219-40, September. [Downloadable!] (restricted)
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  2. Jill Windle & John Rolfe, 2005. "Diversification choices in agriculture: a Choice Modelling case study of sugarcane growers," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society and Blackwell Publishing Asia Pty Ltd., vol. 49(1), pages 63-74, 03. [Downloadable!] (restricted)
  3. Hubbell, Bryan J & Marra, Michele C & Carlson, Gerald A, 2000. " Estimating the Demand for a New Technology: Bt Cotton and Insecticide Policies," American Journal of Agricultural Economics, American Agricultural Economics Association, vol. 82(1), pages 118-32, February. [Downloadable!] (restricted)
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